International Journal Artificial Intelligent and Informatics
Vol. 4 No. 3 (2026): August 2026

Analysis of leg muscle power in Madiun City powerlifting athletes in 2026

delvien (Universitas PGRI Madiun)
Ardyansyah Arief Budi Utomo (Unknown)
Andri Wahyu Utomo (Unknown)



Article Info

Publish Date
07 Oct 2026

Abstract

This study aims to determine and analyze the leg muscle power levels of Madiun City powerlifting athletes in 2026. The study employs a survey method with a quantitative descriptive approach. The research population consists of 10 Madiun City powerlifting athletes. A total sampling technique was used, meaning the entire population served as the research sample. The Vertical Jump Test (Sargent Jump Test) was used to measure the athletes' vertical jump height. The jump results were then converted into Joules using the potential energy formula based on body mass, gravitational acceleration, and jump height. Data analysis was conducted using descriptive statistics, including the mean, standard deviation, variance, minimum value, and maximum value. The results show that the vertical jump measurements yielded a mean of 51.20 cm, a standard deviation of 18.12, a variance of 328.40, a minimum value of 7 cm, and a maximum value of 61 cm. After conversion to Joules, the muscle power values showed a mean of 591.25 Joules, a standard deviation of 233.30 Joules, a variance of 54,427.97, a minimum value of 77 Joules, and a maximum value of 777 Joules. These results indicate significant variation in leg muscle power capabilities among the Madiun City powerlifting athletes. The athlete with the highest power value reached 777.36 Joules, while the lowest value was 77.30 Joules. Based on the research findings, it can be concluded that the muscle power of Madiun City powerlifting athletes falls into varied categories. This variation in ability highlights the need for periodic physical condition assessments to serve as a basis for designing more specific training programs aimed at enhancing explosive muscle power and supporting improved athletic performance

Copyrights © 2026






Journal Info

Abbrev

IJARLIT

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance

Description

International Journal of Artificial Intelligence and Informatics is a scientific journal dedicated to the exploration of theories, methods, and applications of artificial intelligence in time series analysis, forecasting, and prediction. This journal serves as a platform for researchers, academics, ...